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Enhancing e-commerce recommendation systems through approach of buyer's self-construal: necessity, theoretical ground, synthesis of a six-step model, and research agenda

Overview of attention for article published in Frontiers in Artificial Intelligence, May 2023
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1 X user

Citations

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Readers on

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33 Mendeley
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Title
Enhancing e-commerce recommendation systems through approach of buyer's self-construal: necessity, theoretical ground, synthesis of a six-step model, and research agenda
Published in
Frontiers in Artificial Intelligence, May 2023
DOI 10.3389/frai.2023.1167735
Pubmed ID
Authors

Yilin Feng

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 9%
Researcher 2 6%
Student > Ph. D. Student 2 6%
Student > Bachelor 1 3%
Student > Master 1 3%
Other 0 0%
Unknown 24 73%
Readers by discipline Count As %
Business, Management and Accounting 4 12%
Unspecified 3 9%
Computer Science 1 3%
Materials Science 1 3%
Engineering 1 3%
Other 0 0%
Unknown 23 70%